Friday, February 05, 2021

For training employees?

https://www.databreaches.net/the-national-cyber-investigative-joint-task-force-releases-ransomware-fact-sheet/

The National Cyber Investigative Joint Task Force Releases Ransomware Fact Sheet

The joint-seal product can be found at https://www.ic3.gov/Content/PDF/Ransomware_Fact_Sheet.pdf.





Also for training.

https://www.schneier.com/blog/archives/2021/02/presidential-cybersecurity-and-pelotons.html

Presidential Cybersecurity and Pelotons

President Biden wants his Peloton in the White House. For those who have missed the hype, it’s an Internet-connected stationary bicycle. It has a screen, a camera, and a microphone. You can take live classes online, work out with your friends, or join the exercise social network. And all of that is a security risk, especially if you are the president of the United States.





From left field?

https://iapp.org/news/a/virginia-consumer-data-protection-act-on-the-horizon-now-what/

Virginia Consumer Data Protection Act on the horizon — Now what?

And just like that, Virginia is on track to be the next U.S. state with comprehensive privacy legislation. For all the close calls other state legislatures have had on privacy bills in recent years, it took the Virginia General Assembly three weeks to introduce and debate the Consumer Data Protection Act to the edge of passage.

Senate Bill 1392 unanimously passed its first and second readings by the Virginia Senate with 39-0 votes on Feb. 3 and 4. Those votes follow an 89-9 vote on Jan. 29 from the House of Delegates to approve SB1392's companion bill, House Bill 2307. According to DLA Piper Partner Jim Halpert, the final Senate approval of SB1392 could come following a third reading Feb. 5, at which point the bill would head for a reconciliation between the Senate and House before enactment. If the law is indeed enacted, the bill could be signed into law by the governor at the end of February.





Face facts!

https://www.technologyreview.com/2021/02/05/1017388/ai-deep-learning-facial-recognition-data-history/

This is how we lost control of our faces

In 1964, mathematician and computer scientist Woodrow Bledsoe first attempted the task of matching suspects’ faces to mugshots. He measured out the distances between different facial features in printed photographs and fed them into a computer program. His rudimentary successes would set off decades of research into teaching machines to recognize human faces.

Now a new study shows just how much this enterprise has eroded our privacy. It hasn’t just fueled an increasingly powerful tool of surveillance. The latest generation of deep-learning-based facial recognition has completely disrupted our norms of consent.





Perhaps GDPR is not omnipotent?

https://www.pogowasright.org/us-publisher-not-within-gdpr-scope-despite-european-readership/

US publisher not within GDPR scope despite European readership

Pinsent Masons writes:

A US-registered publisher will not have to defend claims that its processing of a British resident’s personal data breached EU data protection laws after the High Court in London ruled that the laws do not apply to it.
The court reached that verdict despite it recognising that the US publisher had a “not minimal” number of UK readers; a fact the High Court said was “of no more than marginal relevance” to the question of whether its activities fell subject to the EU’s General Data Protection Regulation (GDPR).
[…]
The court was considering the territorial scope of the GDPR when determining whether Walter Soriano could proceed with data protection claims he had raised against Forensic News LLC, five journalists and a blogger in a trial before the London court.

Read more on Out-Law News. The ruling in the Soriano case can be found here.





Was this not obvious?

https://www.zdnet.com/article/ai-drives-the-evolution-of-technology-and-data-governance/

AI drives the evolution of technology and data governance

Key points focusing on how AI drives the evolution of technology and data governance and how an increase in customer demand and regulatory activity will necessitate companies to take a closer look at their approach.

Traditionally, data governance and the governance of tech associated with data has focused on topics such as master data management, data quality, and data retention – all primarily operational. With the rise of privacy laws and data protection acts such as the General Data Protection Regulation (GDPR) in the EU and the Personal Data Protection Act (PDPA) in Singapore, the scope of data governance has been expanded to include data privacy, personal data protection, and data sovereignty. This has shifted data governance out of the operational corner and into the spotlight of regulatory compliance and enforceable laws.

With AI being ready for prime time – that means large-scale production deployments – data and technology governance must step up again and include data and AI ethics and AI risk management.





Reading for us stuck-at-homes.

https://www.bespacific.com/ai-reading-list-8-interesting-books-about-artificial-intelligence-to-check-out/

AI reading list: 8 interesting books about artificial intelligence to check out

TechRepublic: “These eight books about artificial intelligence cover a range of topics, including ethical issues, how AI is affecting the job market, and how organizations can use AI to gain a competitive advantage. Artificial intelligence (AI) is an ever-evolving technology. With several different uses, it’s easy to understand why it’s being implemented more and more frequently. These titles answer common questions about AI, discuss what current AI technologies businesses are using, how humans can lose control over AI, and more…”





Lawyers have a future?

https://www.jdsupra.com/legalnews/the-future-of-the-legal-profession-ai-9264295/

The Future of the Legal Profession, AI and Legal Work

The legal profession faced down seemingly endless changes this past year, and many people are understandably wondering what’s in store for the future. In a recent webinar sponsored by Onit and titled The Future of the Legal Profession, leading economist Daniel Susskind tackled exactly that question, offering insights on what changes the industry should expect in the future, what role technology and AI will play and much more.

Susskind envisions two possible futures for the legal profession, both rooted in technology: one that’s simply a more efficient version of the current profession, and another in which technology actively displaces professionals.





I would like to see this get a bit more coverage. Perhaps we could get people to think before opening their mouths?

https://www.theregister.com/2021/02/05/smartmatic_election_lawsuit/

Vote machine biz Smartmatic sues Fox News and Trump chums for $2.7bn over bogus claims of rigged 2020 election

Electronic voting machine maker Smartmatic has sued Fox News, three of its hosts, and two of Donald Trump’s loyalists – Rudy Giuliani and Sidney Powell – for an eye-popping $2.7bn in defamation damages over the false claims it stole the 2020 presidential election for Joe Biden.

The lawsuit, filed Thursday with the Supreme Court in New York, accused Trump’s personal lawyer Giuliani and ex-federal prosecutor Powell of spreading lies by wrongly claiming that the manufacturer rigged its voting machines in favor of the Democrat contender.

It is said the pair used right-wing TV channel Fox News, along with its hosts – specifically, Lou Dobbs, Maria Bartiromo and Jeanine Pirro – to push this false narrative and effectively run an on-air “disinformation campaign” targeting Smartmatic. The overall goal, we're told, was to discredit the election’s results.

Smartmatic’s lawyers did not mince their words in their 285-page filing [PDF ].





Worth a careful read if you are a manager.

https://venturebeat.com/2021/02/04/why-process-mining-is-seeing-triple-digit-growth/

Why process mining is seeing triple-digit growth

Process mining enables companies to automate and streamline operations by identifying best practices and then disseminating them across an organization. This reduces waste, allocates physical and human resources more efficiently, and enables faster responses to internal and environmental changes. Gartner estimated that the market for dedicated process mining tools grew from $110 million in 2018 to $320 million in 2019.

The challenges of 2020 have shifted perspectives back toward efficiency for the sake of business continuity,” said Gustavo Gomez, CEO of Bizagi, a business process automation tools provider.





Something for my Grad Students to consider…

https://www.cpomagazine.com/data-privacy/new-isaca-report-enterprises-struggling-to-recruit-and-staff-technical-privacy-pros/

New ISACA Report: Enterprises Struggling to Recruit and Staff Technical Privacy Pros

Privacy pros with the necessary technical skills are in-demand and hard to find even for well-funded enterprises, according to a new report from IT governance association ISACA. Enterprises are having a harder time staffing technical privacy teams than they are filling out their legal & compliance teams, with long delays in filling job openings and shorthanded departments being common. With the demand for these specialized professionals only expected to increase in the near term, hiring managers are looking to cross-train current employees to become experts on specific regional regulations such as the EU’s General Data Protection Regulation (GDPR).





Now I get it. For the last few years he thought he was acting out a dream (nightmare) sequence and when he woke up everyone would live him…

https://www.cbsnews.com/news/trump-resigns-sag-letter/

Trump resigns from Screen Actors Guild as union considers disciplinary action





Is this the best you can do? Growing up in New Jersey I knew people who could use more than 402 ‘dirty words’ in a single sentence.

https://www.wired.com/story/ai-list-dirty-naughty-obscene-bad-words/

AI and the List of Dirty, Naughty, Obscene, and Otherwise Bad Words

COMEDIAN GEORGE CARLIN had a list of Seven Words You Can’t Say on TV. Parts of the internet have a list of 402 banned words, plus one emoji, 🖕.



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